08/2025: My proposed invited session "Recent Advances in Personalized Decision-Making" has been accepted for the ENAR 2026 Spring Meeting. Look forward to connecting in Indianapolis!
07/2025: I have officially joined the Department of Biostatistics at Boston University! Here is the link to my BU Profiles.
06/2025: I have received the International Chinese Statistical Association (ICSA) Applied Statistics Symposium Poster Award for my presentation "Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables".
03/2025: Our paper "BayTetra: A Bayesian Semiparametric Approach for Testing Trajectory Differences" has been accepted by Statistics in Medicine.Â
02/2025: Our paper "Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables" has been accepted by the Journal of Machine Learning Research.
02/2025: I gave invited talks virtually in the Departments of Biostatistics at the University of Louisville and the University of Michigan on the topic of "Robust Bayesian Learning for Individualized Treatment Rules Under Unmeasured Confounding".
01/2025: I have written a blog sharing My Experience on the Biostatistics Academic Job Market. My goal is to provide insights and practical advice to help junior faculty candidates prepare for this highly competitive process. Feel free to check out the blog and reach out if you have any questions or thoughts!
12/2024: I will join the Department of Biostatistics at Boston University School of Public Health as an Assistant Professor in July 2025.
09/2024: I gave an invited talk at the Survival, Longitudinal, and Multivariate (SLAM) Data Working Group Seminar in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health on the topic of "Robust Bayesian Learning for Individualized Treatment Rules Under Unmeasured Confounding". A recording of the presentation is available on the SLAM Group's YouTube Channel.
07/2024: I have won the Leonard J. Savage Award! Named in honor of Leonard J. "Jimmie" Savage, this award is given each year to an outstanding doctoral dissertation in Bayesian statistics that makes significant contributions through novel Bayesian analysis of a substantive problem with the potential to impact statistical practice in a field of application. Check out the Media Coverage on our department website.
06/2024: My PhD dissertation Novel Bayesian Methods for Precision Medicine in HIV was selected as a finalist for the Leonard J. Savage Award in the Applied Methodology Section by the International Society for Bayesian Analysis (ISBA). I will give an invited talk in the special Savage Award session at the 2024 ISBA World Meeting in Venice, Italy, on July 5, 2024.
01/2024: Check out the Media Coverage on our recently published paper "A Bayesian Decision Framework for Optimizing Sequential Combination Antiretroviral Therapy in People with HIV" in Annals of Applied Statistics.
01/2024: Our paper "A Bayesian Approach for Investigating the Pharmacogenetics of Combination Antiretroviral Therapy in People with HIV" has been accepted by Biostatistics.